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The MSc Data Science & Engineering at the University of Dundee combines key areas of data engineering and data science to equip students with the skills to store, manage, and analyse large datasets.
The program covers machine learning, big data analysis, data warehousing, business intelligence systems, and programming for data engineering, alongside DevOps and Microservices.
Designed for students with a computing or related background, the course emphasizes practical application through real-world datasets and decision-making projects aligned with industry needs. Students will gain hands-on experience using modern cloud platforms and big data tools.
Ranking: Ranked Top 5 in the Guardian University Guide 2025 for Computing
Course overview
Core modules: Big Data Analysis and Distributed Programming, MSc Project, Business Intelligence Systems, Professional Communication and Collaboration in Computing, Societal Impact and Ethics of Artificial Intelligence, Data Visualisation Analytics, Applied Artificial Intelligence Solutions, Statistics for Computer Science
Optional modules: Technology Innovation Management, Devops and Microservices
Teaching: Lectures, Tutorials, Seminars by academic and industry experts and External industry talks
Assessment: Written and practical coursework, Examinations, Presentations, Interviews, A research project
Work with real-world industry datasets
Practical training on cloud platforms (AWS, Azure, Google Cloud) and big data tools (Spark, Flink)
Research projects addressing current challenges (e.g., AI for healthcare, market data integration)
Collaborative projects guided by academic and industry experts
Access to computing labs and modern software environments
Seminars and workshops with data science professionals
Supportive small-group learning and close tutor interaction
Opportunities for interdisciplinary collaboration
Networking events and career development support
Pathways to further study in Big Data Analytics, Cloud Computing, and Machine Learning
Graduates are in high demand across finance, healthcare, retail, and technology, with data engineering and data science roles projected to grow by up to 40% by 2031
IELTS Academic: Overall 6.5, L5.5, S6.0, W6.0 and R5.5TOEFL iBT: Overall score 87 (no scores below 20 in Writing, 18 in Speaking, and 18 in Reading and 17 in Listening)Two intakes: January and SeptemberScholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data ScientistData EngineerMachine Learning EngineerBusiness Intelligence AnalystBig Data AnalystSoftware DeveloperAI SpecialistResearch ScientistCloud EngineerData Architect
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University of Dundee
